Best links of the week #17

Reading Time: 2 minutes

Best links of the week from 29nd April to 5th May

Source: Dilbert.

Links

  1. This Will Be The Biggest Disruption In Higher Education at Forbes.
  2. Dead Facebook users could outnumber living ones within 50 years at MIT Technology Review.
  3. To Build Truly Intelligent Machines, Teach Them Cause and Effect at QuantaMagazine.
  4. The Worlds largest listings of AI Conferences, Events and Meetups with the biggest collection of conference discount codes.
  5. 2nd International Summer School on Artificial Intelligence: From Deep Learning to Data Analytics.
  6. Microsoft launches a drag-and-drop machine learning tool at TechCrunch.
  7. Actively curated list of awesome BI tools at Jan Kyri’s GitHub.
  8. How much of human height is genetic and how much is due to nutrition at Scientific American.
  9. Announcing JupyterHub 1.0!
  10. I hate it that sometimes Jupyter notebooks don’t render properly (or take a long time to render) at GitHub. If you’ve faced similar situations, your solution is here!
  11. Cryptography That Can’t Be Hacked at QuantaMagazine.
  12. Hacker-Proof Code Confirmed at QuantaMagazine.
  13. “PUT DOWN THE DEEP LEARNING: When not to use neural networks (and what to do instead)”, a talk by Rachael Tatman. Code here.
  14. Socially-Stratified Validation for ML Fairness, another talk by Rachael Tatman.
  15. Google Books Ngram Viewer is a tool that displays a graph showing how phrases specified by you have occurred in a corpus of books through time.
  16. Why Generation Y Yuppies Are Unhappy at Wait But Why.
  17. Looking for data? You mean data? DATA? Yes, data, data and data!!
  18. Becoming a Data Scientist – Curriculum via Metromap at nirvacana.
  19. Demystifying Artificial Intelligence. What is Artificial Intelligence & explaining it from different dimensions at nirvacana.
  20. The weakening relationship between the Impact Factor and papers’ citations in the digital age at arXiv.org.
  21. Visualização GeoEspacial com R at Gabriel Sartori’s GitHub.
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Best links of the week #13

Best links of the week #9

Reading Time: < 1 minute

Best links of the week from 4th March to 10th March.

Links

  1. What are some of your favorite, but less well-known, packages for R? [1] [2] at Statistics and Data Science sub Reddits.
  2. Why is it wrong to stop an A/B test before optimal sample size is reached? at Cross Validated (Stack Exchange).
  3. How do I calculate statistical power? at Effect Size FAQs.
  4. Personal website generator.
  5. From hard drive to over-heard drive: Boffins convert spinning rust into eavesdropping mic at The Register.
  6. List of Machine Learning / Deep Learning conferences in 2019 at Tryo Labs.
  7. We Use Less Information to Make Decisions Than We Think at Harvard Business Review.
  8. Apple CEO Tim Cook explains why you don’t need a college degree to be successful at Business Insider.
  9. Jordan Peterson’s 10-step process for stronger writing at Big Think.
  10. R package primer at Karl Broman‘s website.
  11. Researchers Can Now Cheaply Turn Atmospheric CO2 Back Into Coal at IFLScience.
  12. Plano de estudos em machine learning com conteúdos em português at Italo José’s GitHub.
  13. O Brasil em dados libertos.
  14. Reconhecimento facial ajuda a prender criminoso no Carnaval de Salvador at Canal Tech.
  15. Conhecer o próprio genoma envolve surpresas e decepções at Folha de São Paulo.
  16. Qual a lógica do detector de mentiras? at Revista Questão de Ciência.
  17. Pesquisas que parecem medicina, mas não são at Revista Questão de Ciência.
  18. A distribuição de pessoas com doutorado pelo Brasil at Nexo Jornal.
  19. Programadores tornarão o caminho mais fácil para invasores dizem pesquisadores at Mundo Hacker.
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Best links of the week #4

Reading Time: 2 minutes

Best links of the week from 28th January to 3rd February.

Links

  1. Upload your CV and get suggestions and corrections at CV Compiler.
  2. Regression toward the mean at Wikipedia.
  3. Free and open resource with Machine Learning papers, code and evaluation tables at Papers With Code.
  4. Machine Learning Timeline at Leandro Mineti’s GitHub.
  5. Vários algoritmos de Machine Learning at Arnaldo Guaberto’s GitHub.
  6. AN AI READING LIST — FROM PRACTICAL PRIMERS TO SCI-FI SHORT STORIES at The Verge.
  7. Como camuflar seu WhatsApp Web usando Snippets JavaScript at VivaOLinux.
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Best links of the week #2

Reading Time: 2 minutes

Best links of the week from 14th January to 20th January.

Links

  1. Data Hackers BR is apparently the largest community for Data Science in Brazil. They own a blog, a podcast, a Slack channel and a mailing list.
  2. Peeriodicals is a platform where you can compile a set of [existing] articles into a virtual journal, becoming its Editor-in-chief. People can subscribe to your jornal and follow your editions, just like they would in a real journal.
  3. Alerta máximo contra as pseudociências at Unicamp Notícias.
  4. TLM is a new open-source project that aims to create an interactive textbook containing A-Z explanations of concepts and methods, algorithms and their code implementations from the fields of data science, machine learning, deep learning, natural language processing, statistics, and more. TLM also seeks to link these fields to each other, highlighting their correlation.
  5. Cookiecutter Data Science: A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
  6. Faster Data Science Education at Kaggle.
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